Triple

T11423104
Position Surface form Disambiguated ID Type / Status
Subject John Presper Eckert E270676 entity
Predicate familyName P18 FINISHED
Object Eckert E141088 NE FINISHED

How this triple was built (2 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Eckert | Statement: [John Presper Eckert, familyName, Eckert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eckert
Context triple: [John Presper Eckert, familyName, Eckert]
  • A. Eckert chosen
    Eckert is a German-language surname borne by various notable individuals across fields such as music, science, and politics.
  • B. Everhart
    Everhart is a surname of English and German origin that is borne by various notable individuals across fields such as politics, sports, and the arts.
  • C. Vinton
    Vinton is the given name of Vinton Cerf, an American computer scientist widely recognized as one of the "fathers of the Internet."
  • D. Vinton
    Vinton is a small village in western Texas, located near the city of El Paso and the U.S.–Mexico border.
  • E. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aadeef688190874bcecd88b3dd9b completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d801b357e88190ace56d36a945688f completed April 9, 2026, 7:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b8a1e88c8190994bea88a0490e60 completed April 20, 2026, 5:24 a.m.
Created at: April 8, 2026, 9:34 p.m.